NVIDIA is the engine of modern Artificial Intelligence, Parallel Compute Infrastructure, and Agentic AI - the biggest technology breakthroughs of our time. We’re on a mission to redefine how data moves, connects, and accelerates workloads at scale, and we’re seeking a visionary Product Architect with strong expertise in systems architecture to join our cause. As a key member of our team, you’ll design and shape the architectures that connect the world’s most powerful AI clusters. As a Product Architect at NVIDIA, you'll be the linchpin in transforming ideas into well-defined, functional products, balancing technical feasibility with user needs and market demands. You'll be responsible for designing and overseeing the development of cutting-edge AI solutions from conception through their entire lifecycle. Working at NVIDIA is all about efficiency and multiplying efforts; being a Product Architect is at the nexus of this ethos!
What you’ll be doing:
Stay at the forefront of technology trends in AI Infrastructure & Agentic AI, proposing new product concepts
Define detailed product architectures, including performance, scalability, interoperability, and datacenter deployment requirements
Lead prototyping and testing processes to validate product design and functionality, with a focus on scale, diagnosing bottlenecks and driving innovations in performance
Iterate and refine designs based on feedback, testing results, and evolving requirements
Collaborate with internal hardware, software, security and systems teams to ensure flawless integration of networking, compute and storage ecosystems
Work closely with partners and customers to conceptualize ideal solutions, build proof-of-concepts (POCs) and minimum viable products (MVPs) that demonstrate your vision
Provide comprehensive documentation for product designs, including technical specifications and user guides
Develop targeted content such as whitepapers, blogs, and curriculum for customers, partners, and users
What we need to see:
8+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent
Bachelors degree in computer science or related field (or equivalent experience).
Strong background in technologies that enable large scale infrastructure management of complex systems, networks, and storage
Extensive experience with DevOps solutions, including Python, Ansible, Container Runtimes, Kubernetes, and data center deployments
Familiarity with AI workloads, including agentic & RAG-based workflows, inference at scale, large scale training & fine-tuning, and model evaluation
Exceptional communication skills, with the ability to translate complex technical details for diverse audiences
A passion for staying updated with the latest technological advancements in AI and related fields
Ways to stand out from the crowd:
Prior first-hand experience on having built large scale AI infrastructure
Advanced certifications or publications in AI, deep learning, or related fields
Experience leading high-impact projects or initiatives in cutting-edge tech domains
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- 8+ years of experience architecting datacenter-scale HPC or AI infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent
- Bachelor's degree in computer science or a related field, or equivalent experience
- Strong background in large-scale infrastructure management involving complex systems, networks, and storage
- Extensive experience with DevOps solutions, Python, Ansible, container runtimes, Kubernetes, and data center deployments
- Familiarity with AI workloads, including agentic and RAG-based workflows, inference at scale, large-scale training and fine-tuning, and model evaluation
- Exceptional communication skills and ability to translate complex technical details for diverse audiences
- Advanced certifications or publications in AI, deep learning, or related fields
- First-hand experience building large-scale AI infrastructure
- Experience leading high-impact projects or initiatives in cutting-edge technology domains
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
